000			04168nam a22004215i 4500
001			289173
003			MX-SnUAN
005			20160429154700.0
007			cr nn 008mamaa
008			150903s2014 xxu| o |||| 0|eng d
020			_a9781461494119 _99781461494119
024	7		_a10.1007/9781461494119 _2doi
035			_avtls000342728
039		9	_a201509030857 _bVLOAD _c201405050248 _dVLOAD _y201402061134 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aHD30.23
100	1		_aMorales, Juan M. _eautor _9313746
245	1	0	_aIntegrating Renewables in Electricity Markets : _bOperational Problems / _cby Juan M. Morales, Antonio J. Conejo, Henrik Madsen, Pierre Pinson, Marco Zugno.
264		1	_aBoston, MA : _bSpringer US : _bImprint: Springer, _c2014.
300			_axvI, 429 páginas 92 ilustraciones, 12 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aInternational Series in Operations Research & Management Science, _x0884-8289 ; _v205
500			_aSpringer eBooks
505	0		_aIntroduction -- Renewable Energy Sources - Modeling and Forecasting -- Clearing the Day-Ahead Market with a High Penetration of Stochastic Production -- Balancing Markets -- Managing Uncertainty with Flexibility -- Impact of Stochastic Renewable Energy Generation on Market Quantities -- Trading Stochastic Production in Electricity Pools -- Virtual Power Plants -- Facilitating Renewable Integration by Demand Response -- Random Variables and Stochastic Processes -- Basics of Optimization -- Introduction to Stochastic Programming -- Introduction to Robust Optimization -- GAMS Codes.
520			_aThis addition to the ISOR series addresses the analytics of the operations of electric energy systems with increasing penetration of stochastic renewable production facilities, such as wind- and solar-based generation units. As stochastic renewable production units become ubiquitous throughout electric energy systems, an increasing level of flexible backup provided by non-stochastic units and other system agents is needed if supply security and quality are to be maintained. Within the context above, this book provides up-to-date analytical tools to address challenging operational problems such as: • The modeling and forecasting of stochastic renewable power production. • The characterization of the impact of renewable production on market outcomes. • The clearing of electricity markets with high penetration of stochastic renewable units. • The development of mechanisms to counteract the variability and unpredictability of stochastic renewable units so that supply security is not at risk. • The trading of the electric energy produced by stochastic renewable producers. • The association of a number of electricity production facilities, stochastic and others, to increase their competitive edge in the electricity market. • The development of procedures to enable demand response and to facilitate the integration of stochastic renewable units. This book is written in a modular and tutorial manner and includes many illustrative examples to facilitate its comprehension. It is intended for advanced undergraduate and graduate students in the fields of electric energy systems, applied mathematics and economics. Practitioners in the electric energy sector will benefit as well from the concepts and techniques explained in this book.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aConejo, Antonio J. _eautor _9313744
700	1		_aMadsen, Henrik. _eautor _9319261
700	1		_aPinson, Pierre. _eautor _9319262
700	1		_aZugno, Marco. _eautor _9319263
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781461494102
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4614-9411-9 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942			_c14
999			_c289173 _d289173